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Senior Business Intelligence Engineer

2 mesi fa


Milano, Lombardia, Italia Amazon A tempo pieno
About the Role

You will be part of a dynamic team at Amazon, responsible for delivering scalable data engineering and analytics solutions as part of the EU Marketplace Business Intelligence team.

This role provides a unique opportunity to explore petabytes of data in one of the world's largest data lakes, employing cutting-edge tools and techniques.

Key Responsibilities
  • Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
  • Design and automate ETL pipelines for business metrics.
  • Design insightful dashboards for a senior non-tech audience.
  • Research the most appropriate methodologies for a given analytical problem.
  • Contribute to key business documents.
  • Collaborate with business stakeholders and tech teams across functions and geographies.
Requirements
  • Quantitative or engineering background (e.g. degree in Computer Science, Mathematics, Economics, Physics, etc.).
  • 5+ years relevant experience.
  • Highly proficient in SQL.
  • Experience in ETL processes with large datasets.
  • Experience with one or more scripting languages (e.g. Python, R, Matlab, SAS).
  • Experience with one or more industry analytics and metrics visualization tools (e.g. Excel, QuickSight, Tableau, MicroStrategy, PowerBI).
  • Proficient in descriptive statistics and familiar with inferential statistics and experiments design.
  • Experience working directly with business stakeholders to translate between data and business needs.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Master's degree in a quantitative or engineering field.
  • Experience with AWS technologies for data analytics (e.g. Redshift, S3, SageMaker).
  • Experience with theory and practice of data science, machine learning and data mining.
  • Clear communication with senior stakeholders and leadership.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.